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Reviews from AWS customer

1 AWS reviews
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4-star reviews ( Show all reviews )

    Information Technology and Services

Cuts Costs and Automates Infrastructure Provisioning

  • February 18, 2026
  • Review provided by G2

What do you like best about the product?
It helps reducing costs and automating infrastructure provisioning.
What do you dislike about the product?
Sometimes, when I contact support, their responses tend to contradict each other or conflict with the documentation. For example, the way to introduce vpa and hpa at the the same time
What problems is the product solving and how is that benefiting you?
select the correct CPU and memory configurations, and add more triggers for our autoscalers.


    Tejaswini R.

Efficient Cost Optimizer with Smart Scaling

  • February 18, 2026
  • Review provided by G2

What do you like best about the product?
I like CAST AI because there's almost no manual effort involved, and it offers intelligent scaling. The automation is reliable and handles workloads without breaking, which I find really valuable. It effectively right-sizes and scales when needed, optimizing costs and node management.
What do you dislike about the product?
The UI navigation makes the experience slow. I think simplifying the sidebar and improving visibility would be helpful.
What problems is the product solving and how is that benefiting you?
I use CAST AI to cut Kubernetes costs and automate node scaling. It optimizes costs, solves scaling, and node management issues. It requires almost no manual effort with intelligent scaling and reliable automation that right-sizes and scales when needed.


    J L.

Effortless Kubernetes Cost Optimization

  • February 17, 2026
  • Review provided by G2

What do you like best about the product?
I like the hands-off nature of CAST AI and the ability it gives developers to focus on more important work instead of tuning workload settings. It's also fairly simple to deploy.
What do you dislike about the product?
Some odd workloads with unusual resource consumption patterns require manual tuning, i.e. burst on startup, etc.
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost optimization and to relieve the pain of manually configuring infrastructure scaling and application requests. I love its hands-off nature, allowing developers to focus on more important work instead of tuning workload settings.


    Sports

Cost Optimization

  • February 16, 2026
  • Review provided by G2

What do you like best about the product?
Cast AI gives us the ability to take the back seat in cost optimization and allow the pod rebalancer to adjust nodes and node types to optimize our workloads for performance and cost.
What do you dislike about the product?
At times it can be hard to understand different changes that it makes and troubleshoot issues surrounding node rebalances.
What problems is the product solving and how is that benefiting you?
Cost engineering. Before CastAI our workloads were around 80% over provisioned. With CastAI, we were able to get that number to a much lower amount. It essentially unlocks free money in our budget.


    Nils K.

Turnkey FinOps Automation with Highly Responsive Support

  • February 14, 2026
  • Review provided by G2

What do you like best about the product?
Turnkey finops automation. Very skilled and highly responsive support team.
What do you dislike about the product?
Limited fine grained auth model in the administrative UI
What problems is the product solving and how is that benefiting you?
CastAI helps fighting over provisioning of cloud infrastructure, often caused by lack of awareness or knowledge in development teams. With CastAI automation we do not need to train all these teams but can optimize automatically.


    Rishabh A.

Autonomous K8s Optimization with Smooth Onboarding

  • February 14, 2026
  • Review provided by G2

What do you like best about the product?
I like CAST AI because it makes Kubernetes optimization truly autonomous. It handles the hardest and most time-consuming parts of K8s operation with features like fully autonomous optimization, which means zero manual tuning for us. The instant and reliable autoscaling is impressive, and I love the intelligent spot instance usage that offers massive savings without risk. The clear and actionable cost visibility is another standout feature. Our initial setup experience with CAST AI was smooth and straightforward, with fast and easy cluster onboarding that had no impact on our existing workloads. Plus, we received clear recommendations right after setup.
What do you dislike about the product?
There are a few areas where the experience could be improved: some advanced features have a learning curve, the UI could be more streamlined in certain areas, recommendations could offer more context, and reporting could be more customizable.
What problems is the product solving and how is that benefiting you?
I use CAST AI to automate Kubernetes cluster optimization, solve cloud cost challenges, eliminate manual resource tuning, and overprovisioning issues. It provides real-time rightsizing and makes autoscaling efficient, handling spot instance complexity without risk.


    Logistics and Supply Chain

Automated Rightsizing That Cuts Cloud Spend Without Sacrificing Performance

  • February 13, 2026
  • Review provided by G2

What do you like best about the product?
The automated workload optimization and rightsizing capabilities are the most effective features. The platform’s ability to analyze resource requirements in real-time and automatically adjust instances ensures that the infrastructure remains efficient without requiring constant manual intervention from the engineering team. This lead to a measurable reduction in cloud spend while maintaining cluster performance.
What do you dislike about the product?
While the initial returns were simple to realize on lower environments, the transition to production required more effort. We found that iterative tuning was necessary to ensure there was no application degradation or performance impact. A more seamless "plug-and-play" experience for high-traffic production workloads would be a valuable improvement.
What problems is the product solving and how is that benefiting you?
Cast AI addresses the challenge of managing complex cloud infrastructure costs and resource allocation. By automating the rightsizing of clusters and optimizing instance selection, it removes the manual burden of infrastructure tuning from our engineering teams.


    Marketing and Advertising

Clear Infrastructure Cost Insights with Cast Ai

  • February 12, 2026
  • Review provided by G2

What do you like best about the product?
Cast Ai provides a clear overview of my infrastructure costs. It helps me understand where the spend is going and makes it easier to identify the lowest prices.
What do you dislike about the product?
It has recently become more expensive. Maybe that’s due to scaling up or adding extra features we don’t need.
What problems is the product solving and how is that benefiting you?
It significantly lowers the cost of the nodes we need to run our jobs. We use it primarily for cost efficiency.


    Business Supplies and Equipment

Easy-to-Use Tool with Useful Workload and Node Balancing

  • February 12, 2026
  • Review provided by G2

What do you like best about the product?
Workload balancing and node balancing are useful overall, and the tool is easy to use.
What do you dislike about the product?
It’s expensive. For now, it pays for itself, but it’s definitely not really cheap.
What problems is the product solving and how is that benefiting you?
uese AI to balance workfload


    Financial Services

Node Type Flexibility and Rebalancing Make Maintenance Easy. And the customer support is Bravo

  • February 12, 2026
  • Review provided by G2

What do you like best about the product?
Being able to choose specific types of nodes has helped us a lot. I also love the rebalancing feature, which makes upgrades and ongoing maintenance much easier.
What do you dislike about the product?
Well the logs/audit-logs are a bit less informative to debug somethings.
What problems is the product solving and how is that benefiting you?
The biggest problem its solving is scaling right amount/size of nodes and with features like graceful draining.
Also I like the feature that we can have multiple node templates/configuration and that can be used using labels and selectors